Work

SDPRX: A statistical method for cross-population prediction of complex traits

Year: 2022

Type: article

Source: The American Journal of Human Genetics

DOI: 10.1016/j.ajhg.2022.11.007

Authors: Geyu Zhou, Tianqi Chen, Hongyu Zhao

Institution: Yale University

Language: English

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Science Foundation, National Institutes of Health, Medical Research Council, National Human Genome Research Institute, National Institute of General Medical Sciences, National Center for Advancing Translational Sciences

Awards: G1044130170, G2560035637, G2738632392, G3128351259, New Statistical Methods for High-Dimensional Association Tests with Applications to Large-Scale Genetic Data, G5850737185, G9000163903, G9000270244, Yale Clinical and Translational Science Award

OpenAlex ID: W4310522895

FWCI: 3.764

Cites: 41

Cited by: 37

Related to: 10